# plot_layout: Layout of the Probability Plot In weibulltools: Statistical Methods for Life Data Analysis

## Description

This function is used to create the layout of a probability plot.

## Usage

 ```1 2 3``` ```plot_layout(x, distribution = c("weibull", "lognormal", "loglogistic", "normal", "logistic", "sev"), title_main = "Probability Plot", title_x = "Characteristic", title_y = "Unreliability") ```

## Arguments

 `x` a numeric vector which consists of lifetime data. `x` is used to specify the grid of the plot. `distribution` supposed distribution of the random variable. The value can be `"weibull"`, `"lognormal"`, `"loglogistic"`, `"normal"`, `"logistic"` or `"sev"` (smallest extreme value). Other distributions have not been implemented yet. `title_main` a character string which is assigned to the main title of the plot. `title_x` a character string which is assigned to the title of the x axis. `title_y` a character string which is assigned to the title of the y axis.

## Value

Returns a plotly object which contains the layout that is used for probability plotting.

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15``` ```# Example 1: Weibull-Grid: x_layout <- seq(1e-5, 1e+07, length.out = 10) grid_weibull <- plot_layout(x = x_layout, distribution = "weibull", title_main = "Weibull Analysis", title_x = "Time to Failure", title_y = "Failure Probability in %") # Example 2: Grid of Normal Distribution: x_layout <- seq(1, 10, length.out = 10) grid_normal <- plot_layout(x = x_layout, distribution = "normal", title_main = "Normal Grid", title_x = "Time to Event", title_y = "Failure Probability in %") ```

weibulltools documentation built on May 2, 2019, 11:01 a.m.